
import warnings
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
class 					lowercase__(							UpperCAmelCase				):



	"""simple docstring"""




	a     :Optional[Any]       	=      ['image_processor', 'tokenizer']
	a     :Optional[int]       	=      'ViltImageProcessor'
	a     :int       	=      ('BertTokenizer', 'BertTokenizerFast')
	def __init__(			self    :     List[str]			,				SCREAMING_SNAKE_CASE_    :     Dict=None			,				SCREAMING_SNAKE_CASE_    :     str=None			,				**SCREAMING_SNAKE_CASE_    :     Tuple			)			->	List[str]:
					lowercase_	    =   None
					if "feature_extractor" in kwargs:
									warnings.warn(
									    '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
									    ''' instead.'''			,				SCREAMING_SNAKE_CASE_			,				)
									lowercase_	    =   kwargs.pop('''feature_extractor'''			)

					lowercase_	    =   image_processor if image_processor is not None else feature_extractor
					if image_processor is None:
									raise ValueError('''You need to specify an `image_processor`.'''			)
					if tokenizer is None:
									raise ValueError('''You need to specify a `tokenizer`.'''			)

					super().__init__(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   self.image_processor
	def __call__(			self    :     Optional[int]			,				SCREAMING_SNAKE_CASE_    :     Optional[Any]			,				SCREAMING_SNAKE_CASE_    :     Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None			,				SCREAMING_SNAKE_CASE_    :     bool = True			,				SCREAMING_SNAKE_CASE_    :     Union[bool, str, PaddingStrategy] = False			,				SCREAMING_SNAKE_CASE_    :     Union[bool, str, TruncationStrategy] = None			,				SCREAMING_SNAKE_CASE_    :     Optional[int] = None			,				SCREAMING_SNAKE_CASE_    :     int = 0			,				SCREAMING_SNAKE_CASE_    :     Optional[int] = None			,				SCREAMING_SNAKE_CASE_    :     Optional[bool] = None			,				SCREAMING_SNAKE_CASE_    :     Optional[bool] = None			,				SCREAMING_SNAKE_CASE_    :     bool = False			,				SCREAMING_SNAKE_CASE_    :     bool = False			,				SCREAMING_SNAKE_CASE_    :     bool = False			,				SCREAMING_SNAKE_CASE_    :     bool = False			,				SCREAMING_SNAKE_CASE_    :     bool = True			,				SCREAMING_SNAKE_CASE_    :     Optional[Union[str, TensorType]] = None			,				**SCREAMING_SNAKE_CASE_    :     int			,				)			->	BatchEncoding:
					lowercase_	    =   self.tokenizer(
					    text=SCREAMING_SNAKE_CASE_			,				add_special_tokens=SCREAMING_SNAKE_CASE_			,				padding=SCREAMING_SNAKE_CASE_			,				truncation=SCREAMING_SNAKE_CASE_			,				max_length=SCREAMING_SNAKE_CASE_			,				stride=SCREAMING_SNAKE_CASE_			,				pad_to_multiple_of=SCREAMING_SNAKE_CASE_			,				return_token_type_ids=SCREAMING_SNAKE_CASE_			,				return_attention_mask=SCREAMING_SNAKE_CASE_			,				return_overflowing_tokens=SCREAMING_SNAKE_CASE_			,				return_special_tokens_mask=SCREAMING_SNAKE_CASE_			,				return_offsets_mapping=SCREAMING_SNAKE_CASE_			,				return_length=SCREAMING_SNAKE_CASE_			,				verbose=SCREAMING_SNAKE_CASE_			,				return_tensors=SCREAMING_SNAKE_CASE_			,				**SCREAMING_SNAKE_CASE_			,				)
					# add pixel_values + pixel_mask
					lowercase_	    =   self.image_processor(SCREAMING_SNAKE_CASE_			,				return_tensors=SCREAMING_SNAKE_CASE_			)
					encoding.update(SCREAMING_SNAKE_CASE_			)

					return encoding
	def 		_lowercase    (			self    :     str			,				*SCREAMING_SNAKE_CASE_    :     int			,				**SCREAMING_SNAKE_CASE_    :     Union[str, Any]			)			->	Union[str, Any]:
					return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE_			,				**SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     List[Any]			,				*SCREAMING_SNAKE_CASE_    :     Dict			,				**SCREAMING_SNAKE_CASE_    :     List[Any]			)			->	str:
					return self.tokenizer.decode(*SCREAMING_SNAKE_CASE_			,				**SCREAMING_SNAKE_CASE_			)
	@property
	def 		_lowercase    (			self    :     Any			)			->	Union[str, Any]:
					lowercase_	    =   self.tokenizer.model_input_names
					lowercase_	    =   self.image_processor.model_input_names
					return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names			)			)
	@property
	def 		_lowercase    (			self    :     Any			)			->	Optional[int]:
					warnings.warn(
					    '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''			,				SCREAMING_SNAKE_CASE_			,				)
					return self.image_processor_class




	@property
	def 		_lowercase    (			self    :     Optional[Any]			)			->	Union[str, Any]:
					warnings.warn(
					    '''`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'''			,				SCREAMING_SNAKE_CASE_			,				)
					return self.image_processor











"""simple docstring"""





from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__   =  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   =  {
    "uclanlp/visualbert-vqa": "https://huggingface.co/uclanlp/visualbert-vqa/resolve/main/config.json",
    "uclanlp/visualbert-vqa-pre": "https://huggingface.co/uclanlp/visualbert-vqa-pre/resolve/main/config.json",
    "uclanlp/visualbert-vqa-coco-pre": (
        "https://huggingface.co/uclanlp/visualbert-vqa-coco-pre/resolve/main/config.json"
    ),
    "uclanlp/visualbert-vcr": "https://huggingface.co/uclanlp/visualbert-vcr/resolve/main/config.json",
    "uclanlp/visualbert-vcr-pre": "https://huggingface.co/uclanlp/visualbert-vcr-pre/resolve/main/config.json",
    "uclanlp/visualbert-vcr-coco-pre": (
        "https://huggingface.co/uclanlp/visualbert-vcr-coco-pre/resolve/main/config.json"
    ),
    "uclanlp/visualbert-nlvr2": "https://huggingface.co/uclanlp/visualbert-nlvr2/resolve/main/config.json",
    "uclanlp/visualbert-nlvr2-pre": "https://huggingface.co/uclanlp/visualbert-nlvr2-pre/resolve/main/config.json",
    "uclanlp/visualbert-nlvr2-coco-pre": (
        "https://huggingface.co/uclanlp/visualbert-nlvr2-coco-pre/resolve/main/config.json"
    )
    # See all VisualBERT models at https://huggingface.co/models?filter=visual_bert
}

class 						lowercase   (   _UpperCAmelCase   ):
      _SCREAMING_SNAKE_CASE							      = 'visual_bert'





      def __init__(			self ,		lowercase=30_522 ,		lowercase=768 ,		lowercase=512 ,		lowercase=12 ,		lowercase=12 ,		lowercase=3_072 ,		lowercase="gelu" ,		lowercase=0.1 ,		lowercase=0.1 ,		lowercase=512 ,		lowercase=2 ,		lowercase=0.02 ,		lowercase=1e-12 ,		lowercase=False ,		lowercase=True ,		lowercase=1 ,		lowercase=0 ,		lowercase=2 ,		**lowercase ,		)						->	int:
            super().__init__(pad_token_id=lowercase ,		bos_token_id=lowercase ,		eos_token_id=lowercase ,		**lowercase					)

            lowerCAmelCase    		=			vocab_size
            lowerCAmelCase    		=			max_position_embeddings
            lowerCAmelCase    		=			hidden_size
            lowerCAmelCase    		=			visual_embedding_dim
            lowerCAmelCase    		=			num_hidden_layers
            lowerCAmelCase    		=			num_attention_heads
            lowerCAmelCase    		=			intermediate_size
            lowerCAmelCase    		=			hidden_act
            lowerCAmelCase    		=			hidden_dropout_prob
            lowerCAmelCase    		=			attention_probs_dropout_prob
            lowerCAmelCase    		=			initializer_range
            lowerCAmelCase    		=			type_vocab_size
            lowerCAmelCase    		=			layer_norm_eps
            lowerCAmelCase    		=			bypass_transformer
            lowerCAmelCase    		=			special_visual_initialize






